{"id":"W2061518910","doi":"10.1061/(asce)wr.1943-5452.0000136","title":"Performance Estimation of a Remote Field Eddy Current Method for the Inspection of Water Distribution Pipes","year":2010,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water Systems and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Université Laval","keywords":"Eddy current; Nondestructive testing; Corrosion; Eddy-current testing; Attenuation; Structural integrity; Field (mathematics); Materials science; Structural engineering; Engineering; Composite material; Optics; Mathematics; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008089349,0.0004724989,0.0004789364,0.0004401667,0.0001263698,0.0003091708,0.0004192788,0.0007299202,0.0008124828],"category_scores_gemma":[0.002481843,0.0002416992,0.0002124866,0.0001588914,0.0002347178,0.0003956227,0.0002612608,0.0002518878,0.0002751075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002060518,"about_ca_system_score_gemma":0.0002170168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001495813,"about_ca_topic_score_gemma":0.001056026,"domain_scores_codex":[0.9997049,0.00009781749,0.00001043976,0.00005838237,0.0001133067,0.00001509639],"domain_scores_gemma":[0.998929,0.0005860969,0.0001045653,0.00005820813,0.0002931482,0.00002898752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001049611,0.0001887962,0.007224251,0.0003221763,0.0001135483,0.0001611331,0.0002148829,0.1507836,0.2934397,0.0007923338,0.0006500827,0.5450599],"study_design_scores_gemma":[0.00004498889,0.000343582,0.005413015,0.00001296873,0.0000253098,0.0001423312,0.00003148276,0.9624607,0.03080906,0.0001775606,0.0005114844,0.00002749859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.189474,0.0003177009,0.8082876,0.00006171439,0.00001864389,0.00004379846,0.00002282054,0.0006473694,0.001126386],"genre_scores_gemma":[0.8715985,0.0001254597,0.1271807,0.00001947471,0.00001324345,0.00003668256,0.00004616649,0.00002845708,0.0009514622],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001495813,"threshold_uncertainty_score":0.004278123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009319830693094071,"score_gpt":0.242314886461055,"score_spread":0.232995055767961,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}